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Models/EASY 3xResNet12 (transductive)

EASY 3xResNet12 (transductive)

Reported on 20 benchmarks across 2 tasks · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision20 results

  • Image ClassificationonCUB 200 5-way
    Accuracy· 2022-01-24
    93.79
    SOTA
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699
  • Few-Shot Image ClassificationonCUB 200 5-way
    Accuracy· 2022-01-24
    93.79
    SOTA
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699
  • Image ClassificationonCUB 200 5-way 1-shot
    Accuracy· 2022-01-24
    90.56
    best: 95.8 (PT+MAP+SF+SOT (transductive))
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699
  • Image ClassificationonCIFAR-FS 5-way (1-shot)
    Accuracy· 2022-01-24
    87.16
    best: 89.94 (PT+MAP+SF+SOT (transductive))
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699
  • Image ClassificationonMini-Imagenet 5-way (5-shot)
    Accuracy· 2022-01-24
    89.14
    best: 98.72 (SgVA-CLIP)
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699
  • Image ClassificationonMini-Imagenet 5-way (1-shot)
    Accuracy· 2022-01-24
    84.04
    best: 97.95 (SgVA-CLIP)
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699
  • Image ClassificationonFC100 5-way (5-shot)
    Accuracy· 2022-01-24
    66.86
    best: 70.6 (BAVARDAGE)
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699
  • Image ClassificationonFC100 5-way (1-shot)
    Accuracy· 2022-01-24
    54.13
    best: 57.27 (BAVARDAGE)
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699
  • Image ClassificationonTiered ImageNet 5-way (1-shot)
    Accuracy· 2022-01-24
    84.29
    best: 96.8 (CAML [Laion-2b])
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699
  • Image ClassificationonTiered ImageNet 5-way (5-shot)
    Accuracy· 2022-01-24
    89.76
    best: 98.8 (CAML [Laion-2b])
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699
  • Image ClassificationonCIFAR-FS 5-way (5-shot)
    Accuracy· 2022-01-24
    90.47
    best: 93.5 (CAML [Laion-2b])
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699
  • Few-Shot Image ClassificationonCUB 200 5-way 1-shot
    Accuracy· 2022-01-24
    90.56
    best: 95.8 (PT+MAP+SF+SOT (transductive))
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699
  • Few-Shot Image ClassificationonCIFAR-FS 5-way (1-shot)
    Accuracy· 2022-01-24
    87.16
    best: 89.94 (PT+MAP+SF+SOT (transductive))
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699
  • Few-Shot Image ClassificationonMini-Imagenet 5-way (5-shot)
    Accuracy· 2022-01-24
    89.14
    best: 98.72 (SgVA-CLIP)
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699
  • Few-Shot Image ClassificationonMini-Imagenet 5-way (1-shot)
    Accuracy· 2022-01-24
    84.04
    best: 97.95 (SgVA-CLIP)
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699
  • Few-Shot Image ClassificationonFC100 5-way (5-shot)
    Accuracy· 2022-01-24
    66.86
    best: 70.6 (BAVARDAGE)
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699
  • Few-Shot Image ClassificationonFC100 5-way (1-shot)
    Accuracy· 2022-01-24
    54.13
    best: 57.27 (BAVARDAGE)
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699
  • Few-Shot Image ClassificationonTiered ImageNet 5-way (1-shot)
    Accuracy· 2022-01-24
    84.29
    best: 96.8 (CAML [Laion-2b])
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699
  • Few-Shot Image ClassificationonTiered ImageNet 5-way (5-shot)
    Accuracy· 2022-01-24
    89.76
    best: 98.8 (CAML [Laion-2b])
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699
  • Few-Shot Image ClassificationonCIFAR-FS 5-way (5-shot)
    Accuracy· 2022-01-24
    90.47
    best: 93.5 (CAML [Laion-2b])
    EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple IngredientsarXiv:2201.09699